When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.
Summary:
In this role, you will design, build, and scale enterprise data products that power analytics, benchmarking, AI, and decision-support solutions. You will develop modern data pipelines, curated data assets, and reusable platform capabilities using Databricks and cloud-native technologies while partnering with product, analytics, and business teams to transform complex data into trusted, scalable solutions. You will contribute to data modernization and architecture initiatives, improve engineering standards, and provide technical guidance and mentoring to other engineers.
Responsibilities:
- Design and build scalable data ingestion, transformation, and delivery pipelines using Databricks, Apache Spark, Python, and SQL.
- Develop curated data products that support analytics, benchmarking, reporting, AI, and operational decision-making.
- Partner with product, analytics, and business teams to translate complex requirements into reliable and maintainable data solutions.
- Modernize analytical assets, prototypes, and notebook-based solutions into governed, production-ready data products.
- Implement data quality, observability, lineage, security, and operational monitoring practices.
- Contribute to enterprise data architecture, metadata management, and data governance initiatives.
- Optimize data pipelines and platforms for performance, reliability, scalability, and cost efficiency.
- Develop reusable data platform capabilities and engineering patterns that accelerate delivery across products and business domains.
- Lead feature-level technical design, story refinement, and solution development activities for complex data initiatives.
- Collaborate with architects and engineering teams on product-level architecture and technical design decisions.
- Troubleshoot complex data, platform, integration, and performance issues and implement sustainable solutions.
- Mentor engineers through technical guidance, code reviews, knowledge sharing, and development support.
- Evaluate emerging data technologies and recommend opportunities to improve platform capabilities and engineering practices.
- Develop technical documentation, engineering standards, operational procedures, and continuous improvement practices.
Qualifications:
- Relevant degree preferred.
- 5 or more years of relevant experience required.
- Strong experience with Databricks, Apache Spark, Python, and SQL required.
- Experience designing and building production-grade data pipelines, data products, and data platforms required.
- Experience developing cloud-based data solutions using Microsoft Azure, AWS, Google Cloud, or comparable cloud technologies required.
- Experience implementing CI/CD, automated testing, monitoring, and deployment practices for data solutions required.
- Experience with data modeling, distributed processing, performance optimization, and large-scale data engineering preferred.
- Experience working with structured and semi-structured data at scale preferred.
- Experience diagnosing and resolving complex data, platform, integration, and performance issues preferred.
- Experience with Delta Lake, Unity Catalog, Databricks Asset Bundles, or modern Lakehouse architectures preferred.
- Experience developing data products that support advanced analytics, machine learning, or AI solutions preferred.
- Knowledge of data governance, metadata management, regulatory requirements, and enterprise data management practices preferred.
- Experience modernizing legacy analytical solutions and transitioning prototypes into governed production platforms preferred.
- Healthcare, financial services, benchmarking, consulting, or analytics industry experience preferred.
Estimated Hiring Range:
At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00.This position is also incentive eligible.
Vizient has a comprehensive benefits plan! Please view our benefits here:
http://www.vizientinc.com/about-us/careers
Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities
The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.
Skills Required
- Relevant degree
- 5 or more years of relevant experience
- Strong experience with Databricks, Apache Spark, Python, and SQL
- Experience designing and building production-grade data pipelines, data products, and data platforms
- Experience developing cloud-based data solutions using Microsoft Azure, AWS, Google Cloud, or comparable cloud technologies
- Experience implementing CI/CD, automated testing, monitoring, and deployment practices for data solutions
- Experience with data modeling, distributed processing, performance optimization, and large-scale data engineering
- Experience working with structured and semi-structured data at scale
- Experience diagnosing and resolving complex data, platform, integration, and performance issues
- Experience with Delta Lake, Unity Catalog, Databricks Asset Bundles, or modern Lakehouse architectures
- Experience developing data products supporting advanced analytics, machine learning, or AI solutions
- Knowledge of data governance, metadata management, regulatory requirements, and enterprise data management practices
- Experience modernizing legacy analytical solutions and transitioning prototypes into governed production platforms
- Healthcare, financial services, benchmarking, consulting, or analytics industry experience
Vizient Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vizient and has not been reviewed or approved by Vizient.
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Leave & Time Off Breadth — Time off allowances are generous, with ample PTO and holidays available from day one. Separate paid volunteer days add additional protected time away.
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Flexible Benefits — Flexibility to work from anywhere for part of the year and hybrid options support work-life balance. Policies enabling remote periods complement the broader PTO structure.
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Retirement Support — Retirement benefits include a competitive 401(k) company match alongside HSA contributions on eligible plans. These elements strengthen long-term financial security within the total rewards package.
Vizient Insights
What We Do
Vizient, Inc., the nation’s largest health care performance improvement company, serves more than 50% of the nation’s acute care providers, which includes 97% of the nation’s academic medical centers, and more than 20% of ambulatory care providers. Vizient provides expertise, analytics and advisory services, as well as a contract portfolio that represents more than $130 billion in annual purchasing volume. Vizient is based in Dallas and has offices in 20 metropolitan areas across the United States. We have 4,000 employees with a breadth of expertise, experience and compassion, who are eager to develop and implement solutions that advance health care for the greater good.
